Welcome to Our Lab

The Computational Systems Biology Lab (CSBL) in the Department of Biochemistry and Molecular Biology at the University of Georgia consists of scientists with highly diversified training background, ranging from biochemistry, computational chemistry, molecular biology, biophysics, physics to computer science, statistics and mathematics. Our common interests are in development of computational tools for solving biological problems. Our work ranges from construction of mathematical/statistical models to development of algorithms to code implementation to applications of computational tools to solve various bio-data analysis and modeling problems. Learn more about our research.

Cancer Bioinformatics published by Springer

The latest book by CSBL PI Dr. Ying Xu, along with co-authors Dr. J. David Puett and former lab member Dr. Juan Cui, Cancer Bioinformatics provides a framework for computational researchers studying the basics of cancer through comparative analyses of omic data. Read more here and see a review of the book here.

Our collaborators

More on Our Research

Cancer Computational and Systems Biology We are interested in developing integrated computational and omic techniques for (a) identification of biomarkers for a number of human cancers, detetable through analyses of serum/urine samples, and (b) understanding the relationships between molecular signatures and cancer formation & development. Our work involves microarray gene expression data generation and analyses, comparative genome analyses and analyses of other experimental data.

Principal Investigator

Ying Xu, Ph.D.Regents-GRA Eminent Scholar Chair and Professor Department of Biochemistry and Molecular Biology Ying Xu is a computational biologist with current research interests in cancer systems biology and microbial bioinformatics. He is a professor and endowed chair in computational biology and bioinformatics in the Department of Biochemistry and Molecular Biology and also adjunct professor in the departments of computer science and statistics, University of Georgia. Originally trained as a computer scientist with a Ph.D. degree from the University of Colorado at Boulder in 1991, he is currently studying fundamental biology problems using computer and statistics as tools. He has published over 300 research articles and five books in bioinformatics and computational biology.